Lithuania

Title: Household Budget Survey

GENERAL INFORMATION AND BASIC DEFINITIONS

1. Background

Further information is available from Department of Statistics to the Government of the Republic of Lituania (Statistics Lituania) of 29 Gedimino Ave, 2746 Vilnius, Lithuania, phone: 370 5 23649 19, fax: 370 5 23646 66, e-mail: regina.deveikyte@std.lt.
Data have been collected by household survey since 1952. 1

2. Purpose and coverage

The following purposes are considered to be very important or of some importance:

Geographic coverage: National without any specific geographic areas excluded.

Population coverage:2
The following types of household are included in the data collection:
The following types of household are excluded in the data collection:

Units: Dwelling units are not used in the sample selection.
Data are recorded for the household unit which is characterised by:

Unit members: 3 Usual residents temporarily living away from the dwelling are included, if away continuously for less than 1 months. Visitors (not usual residents) temporarily living in the dwelling are not included as unit members. Domestic staff living in same dwelling/compound are not included in the unit. Renters living in same dwelling/compound are not included in the unit. Boarders living in same dwelling/compound are not included in the unit.

Head of unit: 4
The concept of head of household/other unit is used in this survey and is characterised by:

3. Reference periods

The time period to which income and/or expenditure statistics refer when released/published is from 01/01 to 12/01. These data are collected in the period from 01/01 to 01/02. This survey is conducted continuously. The statistics are published quartely and annually.

SURVEY METHODOLOGY

4. Sample design

The Primary, Secondary and Ultimate Sampling Units are enumeration area/district, none and household respectively.5

Stratification:
Areas/districts were stratified using the following criteria:

The sampling frames for the Primary Sampling Unit (PSU) and Ultimate Sampling Unit (USU) were a list of administrative districts and a set of administrative registers (or combination of such registers) respectively. Primary Sampling Units (PSU) were selected using probability proportional to size. The sample size was 10680 households or other units. The overall response rate for the survey was 76 percent. Errors/biases were minimized by using an updated sampling frame, an increased sample size.

Enumeration procedure: Enumeration uses a single round survey design in which each reporting unit is enumerated only once. The sample is divided into 12 representative sub-samples. No action is taken to select a smaller set of reporting units for more detailed questioning.

DATA COLLECTION, CONCEPTS, DEFINITIONS AND CLASSIFICATIONS

5. Income data

Income data are collected. Receipts do not have to be regular and recurring to be considered as income. Income includes receipts resulting from the sale or reduction of assets and/or from incurring liabilities are included in income. Income excludes receipts that are not currently available to the unit.

The following receipts are collected separately:
The following receipts are collected but not separately:
The following receipts are not collected:
The following receipts are classified as income from paid employment:
The following receipts are classified as income from self-employment:
The following receipts are classified as property income:
The following receipts are classified as employment-related transfer income:
The following receipts are classified as transfer income but not employment-related:
The following receipts are classified as other employment-related income:
The following receipts are classified as other income but not employment-related:
The following receipts are excluded due to measurement problems:
The following receipts are excluded for other reasons:
The following receipts are collected using the last week as the reference period:
The following receipts are collected using the last month as the reference period:

Negative values (business losses) were included when computing self-employment income, only for farmers.

6. Expenditure data

Data collection method:

Diaries are used to collect expenditure on the following items:

Interviews are used to collect expenditure data with the respondent completing the interview by a mix of recall and using documentation.

Data for the following expenditure items are collected by referring:8
The following types of expenditure items are classified as 'Household consumption expenditure':
The following types of expenditure items are classified as 'Actual Household consumption':
The following types of expenditure items are classified as 'Non-consumption household expenditure':
The following types of expenditure items are classified as 'Non-household expenditure':
The following types of expenditure items are classified as 'Investment/liability expenditure':
The following types of expenditure items are excluded due to measurement problems:
The following types of expenditure items are collected on an 'acquisitions' basis:
The following types of expenditure items are collected on a 'payments' basis:
The following types of expenditure items are collected on a mixed basis:

Classification: A national classification is used for classifying expenditure and has 504 separate categories at the finest level. The classification is consistent with COICOP at the Class (4 digit) level.

7. Other Data Collection Issues

The following other topics are covered:

Households are not requested to indicate whether durable goods are new or second-hand when their acquisition is recorded.

Non-response: There is no substitution for non-response, whether by non-contact or by refusal.

Non-response is reduced using the following measures:
Reporting errors are reduced using the following measures:

DATA PROCESSING, ANALYSIS AND DISSEMINATION

Answers are not pre-coded on data collection forms, but are coded by the interviewers (data collectors).

The responses are edited by the following:

13 In-kind receipts and consumption of own production are included in the estimates. In-kind receipts are valued using: the respondent's estimate. Consumption of own production is valued using: the respondent's estimate.

Treatment of owner-occupied housing: Values of owner-occupied housing are not included in the total income/expenditure estimates.14

Treatment of selected groups/values in analysis: Some households/units are excluded from analysis because of incomplete response. Missing values are retained without change . Supplementary sources are not used to adjust estimates for under- or over-reporting. No groups are excluded from data analysis.

Weighting:
Weighting factors are used to adjust for:15

Sampling errors: Sampling errors are computed for major aggregates and these sampling errors are available on request.

Tabulation and Analysis: Statistics are presented showing averages per month and statistics are analysed and tabulated for households only.

The following classifications are used for tabulation and analysis of income statistics:
The following classifications are used for tabulation and analysis of expenditure statistics:

Documentation and Dissemination:
Published survey reports: household income and expenditure(annual) Household budget survey results, 1996, 1997, 1998, 1999, 2000, 2001, 2002

Additional statistics (or special tables on request) are available for public use, free of charge (if preparation time does not exceed 15 min.) and with charges (if preparation time exceeds 15 min.).

Separate tables are published for the following special population groups:
Files of unidentifiable unit data are available (or available on request) for public use, with charges.


(1) 1952 - 1991 , Family budget survey, 1992 - 1995 , Household Budget Survey.Change of methodology in 1996. 1996-2002 , Household Budget Survey. (2) Foreigners may be included in case the selected household has moved and they live in the selected address. (3) Persons, that due to their work are spending most of their time on business trips, but are financially supporting the family, are always included as ho usehold members. (4) When it is impossible to identify the main income earner, the household head is identifi ed by the household members. (5) Persons aged 16 and older, whose households is to participate in the survey , are selected. If the selected person has moved, the household, which lives in the given address, is surveyed. There are rules for choosing households if two or more ho useholds live in the given address. (6) For some types of receipts (wages/salaries) separately, for some types as an aggregate. (7) Two weeks for food, tobacco and alcohol, one month for non-food goods and services. (8) A two-month recall period is used for high-priced non-food goods a nd services. (9) Royalties are classified as income from paid employment as well as income from self-employment. (10) Food items are collected on a "use" basis and non-food items are collected on an "aquisitions" basis. (11) Occupational expenditures are excluded except if they are related to fa rming, in which case they are classified as "non-Household Expenditure". (12) Other business-related expenditures are excluded except if they are related to farming, in which case they are classified as "non-Household Expenditure". (13) Extreme values are deleted, amended, or retained without change depending on the case in question. (14) Although imputed rent data is not included in consumption expenditure, it is collected and could be used for analysis or other calculations. The data is based on the respondents' or the interviewers' estimates. (15) The Population Census 2001 data are used for calibrating sample weights by age and sex.Some other factors (for example main source of income, type of household, etc. ) could be used to adjust sample in the nearest future , when full set of Population Census data will be disseminated.